From mathematics to data science.

Web Programming

Introductory web development course focused on core web concepts, website creation, and the main front-end and back-end technologies. The course helped me understand how the web works, the client-server model, HTML structuring, CSS styling, interactivity with JavaScript, and server-side basics with PHP.

Introduction to Object-Oriented Programming

Introductory course to programming and object-oriented design. The course focused on designing algorithms, implementing them in Java, and structuring applications using fundamental object-oriented programming principles.

Computer Architecture

Course introducing the internal architecture of modern computers and the interactions between hardware and software. It explores the fundamental components of computer systems, the representation of digital information, and the architectural principles that influence software performance.

Probability and Statistics

Introductory course in probability and applied statistics focused on probabilistic models, descriptive statistics, and the foundations of statistical inference. The course provided a strong basis for data analysis, sampling, and the interpretation of statistical results.

Data Structures and Algorithms

Core course on organizing, manipulating, and searching data using classical data structures and their associated algorithms. The course helped me learn how to choose the right structure for a given problem, compare algorithmic approaches, and analyze their efficiency in terms of time and memory.

Introduction to User Interfaces

Introductory course on the design and evaluation of user interfaces. The course helped me understand the foundations of software ergonomics, user-centered design, and graphical interface programming with JavaFX, while applying principles related to quality, accessibility, and interface organization.

Mathematics for Computer Scientists I

Course in discrete mathematics and logic applied to computer science. It provided the foundational mathematical tools needed to model computing problems, reason rigorously, and understand core concepts such as logic, sets, graphs, and Boolean algebra.

Databases I

Introductory course on relational databases covering both theoretical foundations and practical aspects. It helped me learn how to model data, design relational schemas, use SQL to manipulate data, and understand normalization and integrity principles in a database management system.

Analysis and Modeling

Course focused on the early phases of software development, especially requirements analysis, object-oriented modeling, and software specifications. It helped me understand how to transform business needs into structured models that support software design and implementation.

Advanced Object-Oriented Concepts

Advanced object-oriented programming course focused on higher-level software design and development mechanisms. It allowed me to go beyond core OOP concepts by studying generics, design patterns, application robustness, event-driven programming, and advanced concepts such as design by contract and aspect-oriented programming.

Mathematics for Computer Scientists II

Applied mathematics course for computer science covering advanced topics useful in several domains, including formal languages, automata, matrix algebra, numerical analysis, cryptography, and data compression. It helped me connect mathematical concepts to concrete computing implementation problems.

Introduction to Data Science

Introductory data science course focused on the use of modern languages and libraries to manipulate, analyze, and visualize data. It helped me build practical foundations in Python and R, work with data structures, use specialized libraries, and approach preprocessing and analysis tasks such as linear regression.

Operating Systems

Introductory course on the fundamental concepts of operating systems, with a strong focus on systems programming and experimentation under open environments such as UNIX and Linux. It helped me understand how an operating system manages processes, threads, memory, files, I/O, and network communication, while developing concrete system utilities.

Software Design

Course focused on the design of high-quality software, as a continuation of analysis and modeling. It helped me deepen my understanding of the design process, use modern techniques such as UML, design patterns, and software architecture styles, and complete a team project covering multiple stages of software development.

Algorithm Analysis and Design

Course focused on the theoretical analysis and design of efficient algorithms. It helped me deepen my understanding of complexity, compare several algorithmic strategies, and choose the most appropriate methods depending on the problem, while considering correctness, efficiency, and application context.

Computer Networks I

Introductory course on computer network architectures, focused on the mechanisms that enable data exchange between computers. The course helped me understand layered architectures, communication protocols, local area networks, virtual circuits, and the fundamentals of IP networking.

Modeling and Simulation

Course focused on theoretical and practical techniques for modeling, simulation, and data analysis. It allowed me to work across several stages of a data science pipeline: data collection, cleaning, preparation, visualization, dimensionality reduction, modeling, and the application of machine learning algorithms on real datasets.

Databases II

Advanced database course focused on the technical and internal aspects of database management systems. It helped me better understand storage, indexing, query processing, transaction management, concurrency, security, and the links between databases, web applications, and data analysis.

Capstone Project

Capstone project course designed to apply the knowledge acquired throughout the program to a concrete computing project. It allowed me to work on a real-world problem, deepen selected theoretical or technical topics, and strengthen my skills in project management, communication, and teamwork.

Computer Networks II

Advanced computer networks course focused on Internet technologies, client/server architectures, network administration, and security. It helped me study the TCP/IP model, routing, sockets, VLANs, as well as information security principles and enterprise network design.

Legal Aspects of Computing

Introductory course on the legal dimensions of computing, software, and the Internet. It helped me understand the main laws and issues related to intellectual property, contracts, personal data protection, software licensing, domain names, and electronic commerce.

Data Warehouse Management and Mobile Programming

Course focused on non-relational databases, large-scale data modeling, and their use in web or mobile applications. It helped me understand the differences between relational and NoSQL databases, use MongoDB, model non-normalized schemas, and manipulate large-scale data from a data-oriented perspective.

Science, Technology and Society

Critical thinking course on the relationships between science, technology, and society. It helped me examine the social, ethical, and philosophical impacts of scientific and technological innovation, analyze issues such as social responsibility and the viability of new technologies, and develop structured thinking on contemporary dilemmas related to STEM and artificial intelligence.

Software Engineering

Course focused on the fundamental principles of software engineering and the production of quality software. It helped me deepen my understanding of reusable and maintainable design, quality assurance, testing, software project management, and software evolution, while applying design patterns and design principles in a session project.

Machine Learning and Applications

Advanced introductory course in machine learning covering both causal and non-causal approaches as well as the foundations of deep learning. The course aims to apply machine learning algorithms to different types of data, understand model training and validation issues, and explore modern data-driven methods.

Electronic Commerce

Introductory electronic commerce course focused on core digital business concepts and their practical application through the development of a transactional website project. The course aims to integrate several technical and functional skills to design an effective e-commerce solution, including data modeling, interface design, online payment, marketing, and project management.

Introduction to Mobile Application Development (Android)

Introductory course on Android mobile application development focused on best practices, application lifecycle, mobile interfaces, and client-server communication. The course aims to help me design functional, structured, and collaborative Android applications using Java, Android Studio, and Git.

Capstone project — EEG and eye state

Integrative project on predicting eye state from EEG signals and a separate causal analysis. The work connects time-series preparation, machine learning, a Transformer Encoder and critical interpretation of results.